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Software Engineer Fraud Detection Jobs (NOW HIRING)

Fraud Detection & Prevention includes detecting fraudulent transactions based on pre-established ... Mentors other software engineers and coach team on Continuous Integration and Continuous ...

Fraud Detection & Prevention includes detecting fraudulent transactions based on pre-established ... Mentors other software engineers and coach team on Continuous Integration and Continuous ...

The role involves designing and building systems for fraud detection and remediation, collaborating ... Required : โ€ข Have at least 5 years of software engineering experience in backend and data systems ...

Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis * Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model ...

Knowledge of fraud detection technologies, case management systems, or investigative tools ... Monitor and analyze transactions using analytical tools and software to identify suspicious ...

Our award-winning software platform is powered by a team of world-class experts in big data ... As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters ...

Our award-winning software platform is powered by a team of world-class experts in big data ... As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters ...

Our award-winning software platform is powered by a team of world-class experts in big data ... As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters ...

AI/ML Software Engineer

$117K - $140K/yr

The ideal candidate is a fast learner and rapid developer with a strong foundation in software ... Experience supporting fraud detection, trafficking detection, investigations, intelligence analysis ...

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Software Engineer Fraud Detection information

See salary details

$24K

$104.9K

$189K

How much do software engineer fraud detection jobs pay per year?

As of Jul 19, 2026, the average yearly pay for software engineer fraud detection in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What does a Software Engineer in Fraud Detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What are the key skills and qualifications needed to thrive as a Software Engineer in Fraud Detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

How does a Software Engineer in Fraud Detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.
More about Software Engineer Fraud Detection jobs
What cities are hiring for Software Engineer Fraud Detection jobs? Cities with the most Software Engineer Fraud Detection job openings:
What states have the most Software Engineer Fraud Detection jobs? States with the most job openings for Software Engineer Fraud Detection jobs include:
What job categories do people searching Software Engineer Fraud Detection jobs look for? The top searched job categories for Software Engineer Fraud Detection jobs are:
Infographic showing various Software Engineer Fraud Detection job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.

Software Engineer III

BofA Securities

Pennington, NJ โ€ข On-site

Full-time

PTO

Posted 24 days ago


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Position Summary:
This role will support critical functions in Fraud Detection, Prevention and Servicing Line of Business. Fraud Detection & Prevention includes detecting fraudulent transactions based on pre-established strategies, rules and models. Enhanced fraud detection would decrease the fraud loss to the bank. Fraud detection includes both monetary and non-monetary activity (e.g Change of address etc.) This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.

Responsibilities:

  • Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
  • Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
  • Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
  • Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
  • Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
  • Automates manual release activities
  • Designs, develops, and maintains automated test suites (integration, regression, performance)

Required Qualifications

  • 5+ years of job related experience required .
  • Full Stack developer with hands-on knowledge of JAVA, Spring Framework, Agile, Cloud, Containers, Micro Services, REST Services.
  • Web services development with WCF and/or SOAP/REST frameworks using multiple protocols.
  • Relational database experience and demonstrated abilities in using SQL.
  • Working knowledge of using Agile methodology in a fast paced environment and supporting program increments leading to delivery of features/stories.
  • Ability to communicate effectively, both written and verbal, with technical and non-technical cross-functional teams
  • Mentors other Software Engineers and coaches team on CI-CD practices and automating tool stack

Desired Qualifications:

  • Demonstrated experience with .NET, Git, Bitbucket, Jenkins, Ansible, Artifactory, Sonar, and JIRA.
  • Working knowledge with KAFKA, MQ, Cassandra(No SQL)
  • Experience in Redis and Cochroach DB.
  • Coordinating with external vendors and assisting in resolving technical complexities.
  • Facilitates team planning ceremonies against backlog/prioritized work;
  • Understands risks and can apply the controls necessary to mitigate; Knows when to escalate risks.
  • Experience working with financial applications.

Skills:

  • Application Development
  • Automation
  • Influence
  • Solution Design
  • Technical Strategy Development
  • Architecture
  • Business Acumen
  • DevOps Practices
  • Result Orientation
  • Solution Delivery Process
  • Analytical Thinking
  • Collaboration
  • Data Management
  • Risk Management
  • Test Engineering

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - NJ - Pennington - 1500 American Blvd - Hopewell Bldg 5 (NJ2150)Pay and benefits informationPay range$102,900.00 - $179,900.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.